delimited

I have multiple files (f1.log, f2.log, f3.log etc) Each file has the data in ; & = delimited format. (new lines are delimited by ; and fields are delimited by = ) e.g. data of f1: 1=a;2=b;3=c data of f2: 1=p;2=q;3=r I need to read all these files and import data into table in format: filename number data f1 1 a f1 2 b f1 3 c f2 1 p [...] I am new to SQL. Can you please guide me, how can do it? Use SQL*Loader to get the files into a table. Assuming you have a table created a bit like: create table FLOG ( FILENAME varchar2(1000) ,NUM varchar2(1000) ,DATA varchar2(1000) ); Then you can use the

I'm trying parse a tab delemited text file into a set of PHP arrays, and help would be very much appreciated. The .txt wil look like this (tab delimited not spaces) data1a data1b data1c data1d data2a data2b data2c data2d data3a data3b data3c data3d data4a data4b data4c data4d and so on I wish the PHP arrays to look like this $arrayA = array('data1a', 'data2a', 'data3a', 'data4a'); $arrayB = array('data1b', 'data2b', 'data3b', 'data4b'); $arrayC = array('data1c', 'data2c', 'data3c', 'data4c'); $arrayD = array('data1d', 'data2d', 'data3d', 'data4d'); And I need the .txt file uploaded by a simple

I want to use bash to process a tab delimited file. I only need the second column and third to a new file. cut(1) was made expressly for this purpose: cut -f 2-3 input.txt > output.txt Cut is probably the best choice here, second to that is awk awk -F"\t" '{print $2 "\t" $3}' input > out expanding on the answer of carl-norum, using only tab as a delimiter, not all blanks: cut -d$'\t' -f 2-3 input.txt > output.txt don't put a space between d and $ 来源： https://stackoverflow.com/questions/6312564/how-can-i-get-2nd-and-third-column-in-tab-delim-file-in-bash

I am trying to take a tab delimited file with two columns, Name and Age, which reads in as this: 'Name\tAge\nMark\t32\nMatt\t29\nJohn\t67\nJason\t45\nMatt\t12\nFrank\t11\nFrank\t34\nFrank\t65\nFrank\t78\n' And simply create two lists, one with names (called names, without heading) and one with the ages (called ages, but without ages in the list). Using the csv module , you might do something like this: import csv names=[] ages=[] with open('data.csv','r') as f: next(f) # skip headings reader=csv.reader(f,delimiter='\t') for name,age in reader: names.append(name) ages.append(age) print(names) #